Concepedia

Distance-driven Folding

Distance-Driven Folding is a computational protein structure prediction framework that leverages predicted residue-residue distance matrices as primary constraints to guide the three-dimensional folding of polypeptide chains through geometric or energy-based optimization.

50

Publications

2.5K

Citations

168

Authors

64

Institutions

Publications per year

2017–2026

10

Parents

Publications

50

Statistical potentials for fold assessment

Francisco Melo, Roberto Sánchez, Andrej Šali · Protein Science · 2002 · 348 citations · Full text

, , +17

CONFOLD: Residue-residue contact-guided<i>ab initio</i>protein folding

Badri Adhikari, Debswapna Bhattacharya, Renzhi Cao et al. · Proteins Structure Function and Bioinformatics · 2015 · 172 citations

, , +17

Analysis of distance‐based protein structure prediction by deep learning in CASP13

Jinbo Xu, Sheng Wang · Proteins Structure Function and Bioinformatics · 2019 · 157 citations

, , +17

Physically realistic homology models built with <scp>rosetta</scp> can be more accurate than their templates

Kira M.S. Misura, Dylan Chivian, Carol A. Rohl et al. · Proceedings of the National Academy of Sciences · 2006 · 155 citations · Full text

, , +17

Generative Modeling for Protein Structures

Namrata Anand, Po‐Ssu Huang · Neural Information Processing Systems · 2018 · 117 citations

, , +14

1–5 of 50

Authors

168

  1. HW
    Hiroshi Wako

    Waseda University, Japan

    4 publications · 122 citations

    4

    h-index

  2. HA
    Harold A. Scheraga

    Cornell University, United States

    4 publications · 122 citations

    4

    h-index

  3. AA
    András Aszódi

    Novartis (Austria), Austria

    2 publications · 57 citations

    2

    h-index

  4. GA
    G. Andrew Woolley

    University of Toronto, Canada

    2 publications · 119 citations

    2

    h-index

  5. JX
    Jinbo Xu

    Toyota Technological Institute at Chicago, United States

    2 publications · 196 citations

    2

    h-index

1–5 of 168

Institutions

64

  1. Cornell University

    Ithaca, United States

    4 h-index

    8 publications

    244 citations

  2. University of Michigan

    Ann Arbor, United States

    3 h-index

    13 publications

    863 citations

  3. Stanford University

    Stanford, United States

    3 h-index

    4 publications

    350 citations

  4. University of Toronto

    Toronto, Canada

    2 h-index

    15 publications

    644 citations

  5. Beckman Research Institute

    Duarte, United States

    2 h-index

    8 publications

    476 citations

  6. University of Washington

    Seattle, United States

    2 h-index

    7 publications

    833 citations

  7. Rockefeller University

    New York, United States

    2 h-index

    5 publications

    1.1K citations

  8. Toyota Technological Institute at Chicago

    Chicago, United States

    2 h-index

    3 publications

    353 citations

1–8 of 64

Venues

  1. Proteins Structure Function and Bioinformatics

    7 publications · 460 citations

    7

    h-index

  2. Biochemistry

    4 publications · 172 citations

    4

    h-index

  3. Protein Science

    PS · 4 publications · 459 citations

    4

    h-index

  4. Protein Engineering Design and Selection

    PEDS · 3 publications · 118 citations

    3

    h-index

  5. Bioinformatics

    3 publications · 63 citations

    3

    h-index

1–5